Predictive Analysis System for Recreational Vehicle

Abstract

Present embodiments relate to utilities, for non-limiting example, water, fuel, power, or remaining waste capacity system for use with a recreational vehicle (RV). More specifically, but without limitation, present embodiments relate to a predictive analysis system for use with the utilities systems of an RV.

1 . A method of predicting availability of at least one utility for a recreational vehicle (RV), comprising:
 providing said RV with the at least one utility having a measurable value related to utility usage or remaining utility available for use;   obtaining a utility sensor input from the at least one utility onboard the RV;   analyzing the utility sensor input; and,   providing an output which predicts when the utility will no longer be usable.   
     
     
         2 . The method of  claim 1 , wherein the at least one utility is exhausted over time. 
     
     
         3 . The method of  claim 1 , wherein the at least one utility is power, water, fuel, or storage space. 
     
     
         4 . A method of predicting fluid usage, comprising:
 at least one tank having a sensor to detect a fluid level within said at least one tank;   analyzing sensor data of the sensor over multiple time periods;   learning, based on the analyzing, an amount of fluid used during the time periods;   predicting when the at least one tank will either require filling, or require emptying;   displaying a predicted result to a user on a controller.   
     
     
         5 . The method of  claim 4  further comprising utilizing a daily use approach for learning fluid usage. 
     
     
         6 . The method of  claim 5  wherein said daily use approach analyzes the fluid usage over a daily period. 
     
     
         7 . The method of  claim 4  further comprising utilizing an averaging approach for learning fluid usage. 
     
     
         8 . The method of  claim 7  further comprising determining an average amount of water used. 
     
     
         9 . The method of  claim 4  further comprising utilizing a neural networking approach for learning fluid usage. 
     
     
         10 . The method of  claim 9  further comprising utilizing a plurality of input factors in a neural network in said predicting. 
     
     
         11 . The method of  claim 10 , said plurality of input factors including at least two of:
 a. outside temperature;   b. outside humidity;   c. inside temperature;   d. inside humidity;   e. geographic location;   f. location of nearest fil/dump site;   g. planned activity;   h. hours awake;   i. number of people on a trip;   j. calendar inputs indicating need for shower;   k. personal behavior of said user;   l. diet; and,   m. health problems.   
     
     
         12 . The method of  claim 4  further wherein said displaying having a graphical representation. 
     
     
         13 . The method of  claim 11  further comprising displaying a time or a date wherein said at least one tank will require servicing. 
     
     
         14 . The method of  claim 4  further comprising applying a correction factor before said predicting. 
     
     
         15 . A method of predicting availability of a utility, comprising:
 obtaining a utility sensor input from the utility;   analyzing the utility sensor input from the utility;   providing a graphical display predicting when the utility will be exhausted; and,   one of:
 suggesting a change in utility usage settings to prolong usage time; or, 
 automatically changing utility usage settings based on said suggesting or based on a selected extension of time period.